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20172023
most citedTraining Neural Networks by Using Power Linear Units (PoLUs)

8 citations · 21 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 1 cited

Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder

Xinmiao Lin, Yikang Li, Jenhao Hsiao +2

The popular VQ-VAE models reconstruct images through learning a discrete codebook but suffer from a significant issue in the rapid quality degradation of image reconstruction as th…

cs.CV2023★ 1 cited

VideoXum: Cross-modal Visual and Textural Summarization of Videos

Jingyang Lin, Hang Hua, Ming Chen +4

Video summarization aims to distill the most important information from a source video to produce either an abridged clip or a textual narrative. Traditionally, different methods h…

cs.CV2022★ 4 cited

Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features

Shichao Xu, Yikang Li, Jenhao Hsiao +2

In computer vision, multi-label recognition are important tasks with many real-world applications, but classifying previously unseen labels remains a significant challenge. In this…

cs.CV2020★ 3 cited

Recognizing Video Events with Varying Rhythms

Yikang Li, Tianshu Yu, Baoxin Li

Recognizing Video events in long, complex videos with multiple sub-activities has received persistent attention recently. This task is more challenging than traditional action reco…

cs.CV2018

Plan-Recognition-Driven Attention Modeling for Visual Recognition

Yantian Zha, Yikang Li, Tianshu Yu +2

Human visual recognition of activities or external agents involves an interplay between high-level plan recognition and low-level perception. Given that, a natural question to ask…

cs.CV2018★ 4 cited

Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval

Pak Lun Kevin Ding, Yikang Li, Baoxin Li

The research on hashing techniques for visual data is gaining increased attention in recent years due to the need for compact representations supporting efficient search/retrieval…